Path integrals, complex probabilities and the discrete Weyl representation
- URL: http://arxiv.org/abs/2108.12494v5
- Date: Tue, 4 Jun 2024 19:34:52 GMT
- Title: Path integrals, complex probabilities and the discrete Weyl representation
- Authors: Wayne Polyzou,
- Abstract summary: This work is based on a discrete version of Weyl algebra that can be applied to any observable with a finite number of outcomes.
The origin of the complex probability in this work is the completeness relation.
The approximation of infinite dimensional quantum systems by discrete systems is discussed.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: A discrete formulation of the real-time path integral as the expectation value of a functional of paths with respect to a complex probability on a sample space of discrete valued paths is explored. The formulation in terms of complex probabilities is motivated by a recent reinterpretation of the real-time path integral as the expectation value of a potential functional with respect to a complex probability distribution on cylinder sets of paths. The discrete formulation in this work is based on a discrete version of Weyl algebra that can be applied to any observable with a finite number of outcomes. The origin of the complex probability in this work is the completeness relation. In the discrete formulation the complex probability exactly factors into products of conditional probabilities and exact unitarity is maintained at each level of approximation. The approximation of infinite dimensional quantum systems by discrete systems is discussed. Applications to scattering theory and quantum field theory are illustrated.
Related papers
- Expressiveness of Commutative Quantum Circuits: A Probabilistic Approach [1.0864391406042209]
This study investigates the frame potential and expressiveness of commutative quantum circuits.
We express quantum expectation and pairwise fidelity as characteristic functions of random variables, and expressiveness as the recurrence probability of a random walk on a lattice.
arXiv Detail & Related papers (2024-04-30T17:22:33Z) - Continuously Monitored Quantum Systems beyond Lindblad Dynamics [68.8204255655161]
We study the probability distribution of the expectation value of a given observable over the possible quantum trajectories.
The measurements are applied to the entire system, having the effect of projecting the system into a product state.
arXiv Detail & Related papers (2023-05-06T18:09:17Z) - Quantum Mechanics from Stochastic Processes [0.0]
We construct an explicit one-to-one correspondence between non-relativistic processes and solutions of the Schrodinger equation.
The existence of this equivalence suggests that the Lorentzian path can be defined as an Ito integral, similar to the Euclidean path in terms of the Wiener integral.
arXiv Detail & Related papers (2023-04-15T10:12:51Z) - Measure-Theoretic Probability of Complex Co-occurrence and E-Integral [15.263586201516159]
The behavior of a class of natural integrals called E-integrals is investigated based on the defined conditional probability of co-occurrence.
The paper offers a novel measure-theoretic framework where E-integral as a basic measure-theoretic concept can be the starting point.
arXiv Detail & Related papers (2022-10-18T14:52:23Z) - Semirelativistic Potential Modelling of Bound States: Advocating Due
Rigour [0.0]
The Poincar'e-covariant quantum-field-theoretic description of bound states by the homogeneous Bethe-Salpeter equation exhibits an intrinsic complexity.
The resulting approximate outcome's reliability can be assessed by applying several rigorous constraints on the nature of the bound-state spectra.
arXiv Detail & Related papers (2022-08-17T07:02:01Z) - Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency [111.83670279016599]
We study reinforcement learning for partially observed decision processes (POMDPs) with infinite observation and state spaces.
We make the first attempt at partial observability and function approximation for a class of POMDPs with a linear structure.
arXiv Detail & Related papers (2022-04-20T21:15:38Z) - Extending Quantum Probability from Real Axis to Complex Plane [0.0]
This article applies the optimal quantum law to derive the differential equation governing a particle random motion in the complex plane.
The probability distribution of the particle position over the complex plane is formed by an ensemble of the complex quantum random trajectories.
It is shown that quantum probability and classical probability can be integrated under the framework of complex probability.
arXiv Detail & Related papers (2021-03-09T16:02:18Z) - Bernstein-Greene-Kruskal approach for the quantum Vlasov equation [91.3755431537592]
The one-dimensional stationary quantum Vlasov equation is analyzed using the energy as one of the dynamical variables.
In the semiclassical case where quantum tunneling effects are small, an infinite series solution is developed.
arXiv Detail & Related papers (2021-02-18T20:55:04Z) - The Connection between Discrete- and Continuous-Time Descriptions of
Gaussian Continuous Processes [60.35125735474386]
We show that discretizations yielding consistent estimators have the property of invariance under coarse-graining'
This result explains why combining differencing schemes for derivatives reconstruction and local-in-time inference approaches does not work for time series analysis of second or higher order differential equations.
arXiv Detail & Related papers (2021-01-16T17:11:02Z) - Contextuality scenarios arising from networks of stochastic processes [68.8204255655161]
An empirical model is said contextual if its distributions cannot be obtained marginalizing a joint distribution over X.
We present a different and classical source of contextual empirical models: the interaction among many processes.
The statistical behavior of the network in the long run makes the empirical model generically contextual and even strongly contextual.
arXiv Detail & Related papers (2020-06-22T16:57:52Z) - On estimating the entropy of shallow circuit outputs [49.1574468325115]
Estimating the entropy of probability distributions and quantum states is a fundamental task in information processing.
We show that entropy estimation for distributions or states produced by either log-depth circuits or constant-depth circuits with gates of bounded fan-in and unbounded fan-out is at least as hard as the Learning with Errors problem.
arXiv Detail & Related papers (2020-02-27T15:32:08Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.